CN107811606A - Intellectual vision measurer based on wireless sensor network - Google Patents
Intellectual vision measurer based on wireless sensor network Download PDFInfo
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- CN107811606A CN107811606A CN201711242537.9A CN201711242537A CN107811606A CN 107811606 A CN107811606 A CN 107811606A CN 201711242537 A CN201711242537 A CN 201711242537A CN 107811606 A CN107811606 A CN 107811606A
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- 230000004438 eyesight Effects 0.000 title claims abstract description 35
- 238000001514 detection method Methods 0.000 claims abstract description 21
- 238000000034 method Methods 0.000 claims abstract description 11
- 238000012360 testing method Methods 0.000 claims description 76
- 238000004458 analytical method Methods 0.000 claims description 8
- 238000013527 convolutional neural network Methods 0.000 claims description 8
- 230000008569 process Effects 0.000 claims description 8
- 238000004891 communication Methods 0.000 claims description 7
- 230000008859 change Effects 0.000 claims description 6
- 230000000474 nursing effect Effects 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 5
- 230000006870 function Effects 0.000 claims description 5
- 238000003860 storage Methods 0.000 claims description 5
- 230000004913 activation Effects 0.000 claims description 2
- 239000011521 glass Substances 0.000 claims description 2
- 239000004973 liquid crystal related substance Substances 0.000 claims description 2
- 238000005516 engineering process Methods 0.000 abstract description 5
- 238000007405 data analysis Methods 0.000 abstract 1
- 238000012423 maintenance Methods 0.000 abstract 1
- 238000004590 computer program Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 238000012545 processing Methods 0.000 description 5
- 230000004048 modification Effects 0.000 description 4
- 238000012986 modification Methods 0.000 description 4
- 230000006378 damage Effects 0.000 description 2
- 230000004412 visual outcomes Effects 0.000 description 2
- 206010047571 Visual impairment Diseases 0.000 description 1
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 208000014674 injury Diseases 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000004801 process automation Methods 0.000 description 1
- 230000000638 stimulation Effects 0.000 description 1
- 208000029257 vision disease Diseases 0.000 description 1
- 230000004393 visual impairment Effects 0.000 description 1
Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/02—Subjective types, i.e. testing apparatus requiring the active assistance of the patient
- A61B3/028—Subjective types, i.e. testing apparatus requiring the active assistance of the patient for testing visual acuity; for determination of refraction, e.g. phoropters
- A61B3/032—Devices for presenting test symbols or characters, e.g. test chart projectors
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/0016—Operational features thereof
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- Ophthalmology & Optometry (AREA)
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Abstract
The invention discloses the intellectual vision measurer based on wireless sensor network, it is related to Computer Applied Technology field, detector includes PC, distance detection device, display device, input equipment and server, the distance detection device, display device, input equipment and server communicate to connect with the PC, by way of software and hardware combining, realize the intellectual vision measurer based on wireless sensor network and B/S structures, the ease of use of tester is taken into full account, and the method for maintenance data analysis makes eyesight detection more save manpower, more efficient.
Description
Technical field
The present invention relates to Computer Applied Technology field, is examined more particularly to the Intelligent eyesight based on wireless sensor network
Survey instrument.
Background technology
With the raising of scientific and technological level, the high-tech product popularization degree more and more higher such as computer, smart mobile phone, tablet personal computer,
The use of these electronic products brings many facilities to our life really, but very important is they while also band
Many harm are carried out, wherein the injury to eyesight is especially very important.No matter from the point of view of attractive in appearance or health, to eyesight
Protection it is all particularly significant, especially for the teenager of growth stage, extraneous stimulation and itself it is bad with eye custom hold very much
It is easily caused visual impairment.
Existing sight tester is using complicated, expensive, operation inconvenience at present, while function is excessively simple, it is impossible to
Automation interpretation of result, automation data storage contrast etc. are realized, so that sight tester is unable to large area in hospital etc.
Popularize and use in place.
The content of the invention
The embodiments of the invention provide the intellectual vision measurer based on wireless sensor network, can solve prior art
The problem of middle.
The invention provides the intellectual vision measurer based on wireless sensor network, the detector includes PC, distance
Detection means, display device, input equipment and server, the distance detection device, display device, input equipment and server
With the PC communicate to connect, wherein the input equipment by way of ZigBee with the PC wireless connections；
The distance detection device is used to detect the distance between tester and PC, and by the distance data transmission to institute
State PC；The data that the display device is used to receive the PC are shown accordingly；The input equipment, which is used to receive, to be tested
The test feedback of personnel's input, and feedback data is sent to the PC by ZigBee modes；
The PC includes communication module, test icon generation module, examining report generation module and Analysis of test results mould
Block, the feedback that the communication module is used for the range data for receiving the distance detection device transmission and the input equipment is sent
Data, the test icon generation module are used for the test icon that next step is generated according to the range data and feedback data；
The test report generation module tester records detailed test data during being tested, will be current
The M-CNN models based on convolutional neural networks that the test data input of acquisition has had built up, draw prediction result, most throughout one's life
Into corresponding test report；
The Analysis of test results module is used for the prediction result for obtaining the test report generation module and the clothes
The last prediction result of the tester stored in business device is compared, and obtains the eyesight situation of change of tester, and
With this corresponding treatment and nursing suggestion is provided to tester；
The display device shows that the test icon, test show the test report life after terminating in test process
Into the test report of module generation, and the treatment and nursing suggestion of Analysis of test results module generation.
The intellectual vision measurer based on wireless sensor network in the embodiment of the present invention, there is advantages below：
1 intelligent detection device Costco Wholesale is low, and study use cost is small, and installation and deployment very simple is convenient, is detected
Using simple to operation, accuracy rate of testing result can be obviously improved person.
2 can realize that the eyesight detection process in the places such as hospital realizes automation by this intelligent detection device, without artificial
Operation, lifting eyesight detection efficiency, reduce personnel cost.
3 eyesight testing result data can realize long-range storage, and the comparison of detection data result, while can realize
With the comparison work of the passing eyesight information of patient, the visual outcome ultimately generated can be the same as the digital information system pair in the places such as hospital
Connect, realize complete intelligent process automation.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is the functional module of the intellectual vision measurer provided in an embodiment of the present invention based on wireless sensor network
Figure.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not made
Embodiment, belong to the scope of protection of the invention.
Reference picture 1, the invention provides the intellectual vision measurer based on wireless sensor network, the detector includes PC
100th, distance detection device 200, display device 300, input equipment 400 and server 500, the distance detection device 200, show
Show that equipment 300, input equipment 400 and server 500 communicate to connect with the PC 100, wherein the input equipment 400 is logical
Cross ZigBee mode and the wireless connections of PC 100.
The detector uses B/S structures, and the historical data that PC 100 receives after data in server 500 calculates phase
The result answered, and included result on display device 400 by the form of webpage, it is easy to tester to use.
The distance detection device 200 is used to detect the distance between tester and PC 100, and by the range data
Transmitted by wired or wireless mode to the PC 100.The display device 300 is used for the data for receiving the PC 100
Shown accordingly, it can be the regular display with the connections of PC 100, or embedded liquid crystal display, also or
The portable display devices such as VR glasses.It is, of course, also possible to the display for being equipped with three of the above type simultaneously on a set of detector is set
Standby, tester can voluntarily select according to actual size of the space.
The input equipment 400 is used for the test feedback for receiving tester's input, and feedback data is passed through into ZigBee
Mode is sent to the PC 100, and the input equipment 400 can be direction rocking bar, body-sensing input equipment or image recognition input
One or more in equipment, after tester watches on the display device 300 test symbol shown, input test symbol
Direction, i.e. feedback data.
The PC 100 includes communication module 110, test icon generation module 120, examining report generation module 130 and inspection
Survey interpretation of result module 140, the communication module 110 be used to receiving the range data that the distance detection device 200 sends and
The feedback data that the input equipment 400 is sent, the test icon generation module 120 is for according to the range data and instead
Present the test icon of data generation next step.
In the present embodiment, the test icon generation module 120 controls test chart target size according to the range data,
I.e. tester apart from the PC 100 it is distant when, test icon with regard to bigger, otherwise it is just smaller, to meet international eyesight test standard
Examination criteria.The test icon generation module 120 controls test chart target direction always according to the feedback data simultaneously.It is described
Test icon can use international " E " word sheet icon, have the personnel of requirement for height occupation to eyesight in test, may be used also
To use " C " word table, the icon of the generation of test icon generation module 120 is polar plot, can very easily adjust icon
Direction.
The tester of test report generation module 130 records detailed test data during being tested, bag
Include feedback data, range data, judge time etc., the test data currently obtained input has been had built up refreshing based on convolution
M-CNN (Medical Convolutional Neural Networks) model through network, draws prediction result, that is, tests
The eyesight of personnel, ultimately generate corresponding test report.
The Analysis of test results module 140 be used for the prediction result that obtains the test report generation module 130 with
The last prediction result of the tester stored in the server 500 is compared, and the eyesight for obtaining tester becomes
Change situation, and provide corresponding treatment or nursing to tester with this and suggest.
The display device 300 shows that the test icon, test show the test report after terminating in test process
Accuse the test report that generation module 130 generates, and the treatment and nursing suggestion of the Analysis of test results module 140 generation.
The convolutional neural networks used in the M-CNN models have four layers, are the input layer being sequentially connected respectively, hide
Layer, full articulamentum and output layer, the hidden layer include convolutional layer and ReLu layers, and the activation primitive used is linear R eLu letters
Number, the full articulamentum are normalized using softmax.
The workflow of the M-CNN models is：The related content of information and Ref Dr's information is gathered from ophthalmologic hospital,
A data set based on supervised learning is made, keyword is then extracted in the test data currently obtained forms feature sequence
Row, while extract keyword in data set and form characteristic sequence, two characteristic sequences are inputted in convolutional neural networks and carried out
Classification obtains the prediction result.
After the completion of the once test of tester, the server 500 is that the prediction result for obtaining this is deposited
Storage.
The sight tester of the present invention can be at least applied in following two scenes：
Scene one：The process needs of physical examination are had in Driving Test, employee enter official rank scene, are using this Intelligent eyesight
After detector, it is possible to achieve eye test person is automatically performed from the generation for starting to check visual outcome by the system, knot
Fruit is accurate, during by voice message, without the operation of medical worker, save human resources, improve operating efficiency.And can
Relative with hospital information system to connect, to realize that eyesight testing result stores automatically, passing test result automatic comparison, generation is suggested
Information etc., auxiliary doctor make decisions.Greatly simplify the process of eye test.
Scene two：, can be with by using the intellectual vision measurer of the present invention in the physical examination and eyesight measurement of each services
The automation of soldier's eyesight detection process is realized, and records the eyesight information that measured detects every time, contrasts the change of each eyesight
Change and provide and targetedly suggest, auxiliary doctor makes a policy.
It should be understood by those skilled in the art that, embodiments of the invention can be provided as method, system or computer program
Product.Therefore, the present invention can use the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Apply the form of example.Moreover, the present invention can use the computer for wherein including computer usable program code in one or more
The computer program production that usable storage medium is implemented on (including but is not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The present invention is the flow with reference to method according to embodiments of the present invention, equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that can be by every first-class in computer program instructions implementation process figure and/or block diagram
Journey and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided
The processors of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for real
The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which produces, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, so as in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
Although preferred embodiments of the present invention have been described, but those skilled in the art once know basic creation
Property concept, then can make other change and modification to these embodiments.So appended claims be intended to be construed to include it is excellent
Select embodiment and fall into having altered and changing for the scope of the invention.
Obviously, those skilled in the art can carry out the essence of various changes and modification without departing from the present invention to the present invention
God and scope.So, if these modifications and variations of the present invention belong to the scope of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to comprising including these changes and modification.
Claims (5)
1. the intellectual vision measurer based on wireless sensor network, it is characterised in that the detector includes PC, distance detection
Device, display device, input equipment and server, the distance detection device, display device, input equipment and server with
PC communication connection, wherein the input equipment by way of ZigBee with the PC wireless connections；
The distance detection device is used to detect the distance between tester and PC, and by the distance data transmission to described
PC；The data that the display device is used to receive the PC are shown accordingly；The input equipment is used to receive tester
The test feedback of member's input, and feedback data is sent to the PC by ZigBee modes；
The PC includes communication module, test icon generation module, examining report generation module and Analysis of test results module, institute
Communication module is stated to be used to receive the range data of the distance detection device transmission and the feedback data of input equipment transmission,
The test icon generation module is used for the test icon that next step is generated according to the range data and feedback data；
The test report generation module tester records detailed test data during being tested, and will currently obtain
The M-CNN models based on convolutional neural networks that have had built up of test data input, draw prediction result, ultimately generate phase
The test report answered；
The Analysis of test results module is used for the prediction result for obtaining the test report generation module and the server
The last prediction result of the tester of middle storage is compared, and obtains the eyesight situation of change of tester, and with this
Corresponding treatment and nursing suggestion is provided to tester；
The display device shows that the test icon, test show the test report generation mould after terminating in test process
The test report of block generation, and the treatment and nursing suggestion of Analysis of test results module generation.
2. the intellectual vision measurer based on wireless sensor network as claimed in claim 1, it is characterised in that the test
Icon generation module according to the range data control test chart target size, while it is described test icon generation module always according to
The feedback data controls test chart target direction.
3. the intellectual vision measurer based on wireless sensor network as claimed in claim 1, it is characterised in that the display
Equipment is the one or more in regular display, embedded liquid crystal display, VR glasses, and the input equipment is direction rocking bar, body
Feel the one or more in input equipment, image recognition input equipment.
4. the intellectual vision measurer based on wireless sensor network as claimed in claim 1, it is characterised in that the display
The test chart that equipment is shown is designated as the icon in " E " word table or " C " word table.
5. the intellectual vision measurer based on wireless sensor network as claimed in claim 1, it is characterised in that the M-
The convolutional neural networks used in CNN models have four layers, be respectively be sequentially connected input layer, hidden layer, full articulamentum and
Output layer, the hidden layer include convolutional layer and ReLu layers, and the activation primitive used is linear R eLu functions, the full connection
Layer is normalized using softmax.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201711242537.9A CN107811606B (en) | 2017-11-30 | 2017-11-30 | Intellectual vision measurer based on wireless sensor network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711242537.9A CN107811606B (en) | 2017-11-30 | 2017-11-30 | Intellectual vision measurer based on wireless sensor network |
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| Publication Number | Publication Date |
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| CN107811606A true CN107811606A (en) | 2018-03-20 |
| CN107811606B CN107811606B (en) | 2019-08-02 |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110265105A (en) * | 2019-05-21 | 2019-09-20 | 华厦眼科医院集团股份有限公司 | Three-level vision drop monitoring method |
| CN112102940A (en) * | 2020-09-08 | 2020-12-18 | 南方科技大学 | Refractive detection method, device, computer equipment and storage medium |
| CN113729610A (en) * | 2021-09-26 | 2021-12-03 | 广东国瞳智能医疗技术发展有限公司 | Eyesight management system for school-age children |
| CN114822818A (en) * | 2022-04-28 | 2022-07-29 | 深圳市眼科医院 | Eye accommodation capability detection method and device based on virtual image |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110265105A (en) * | 2019-05-21 | 2019-09-20 | 华厦眼科医院集团股份有限公司 | Three-level vision drop monitoring method |
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| CN113729610A (en) * | 2021-09-26 | 2021-12-03 | 广东国瞳智能医疗技术发展有限公司 | Eyesight management system for school-age children |
| CN114822818A (en) * | 2022-04-28 | 2022-07-29 | 深圳市眼科医院 | Eye accommodation capability detection method and device based on virtual image |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107811606B (en) | 2019-08-02 |
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